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  2. Rectangular Micro QR Code - Wikipedia

    en.wikipedia.org/wiki/Rectangular_Micro_QR_Code

    Rectangular Micro QR Code (also known as rMQR Code) is two-dimensional (2D) matrix barcode invented and standardized in 2022 [1] by Denso Wave as ISO/IEC 23941. [ 2 ] rMQR Code is designed as a rectangular variation of QR code and has the same parameters and applications as original QR code.

  3. DotCode - Wikipedia

    en.wikipedia.org/wiki/DotCode

    DotCode barcode can be used in the same way as Code 128 or any (2D) matrix barcode. At this time, it is used mostly to encode GS1 data in tobacco, [10] [11] alcoholic and non-alcoholic beverage, [12] pharmaceutical and grocery industries. The main implementation at this time is in tobacco industry. [13] [14]

  4. QR code - Wikipedia

    en.wikipedia.org/wiki/QR_Code

    Rectangular Micro QR Code (also known as rMQR Code) is a two-dimensional (2D) matrix barcode invented and standardized in 2022 by Denso Wave as ISO/IEC 23941. rMQR Code is designed as a rectangular variation of the QR code and has the same parameters and applications as original QR codes; however, rMQR Code is more suitable for rectangular ...

  5. Barcode library - Wikipedia

    en.wikipedia.org/wiki/Barcode_library

    Barcode library or Barcode SDK is a software library that can be used to add barcode features to desktop, web, mobile or embedded applications. Barcode library presents sets of subroutines or objects which allow to create barcode images and put them on surfaces or recognize machine-encoded text / data from scanned or captured by camera images with embedded barcodes.

  6. MicroPDF417 - Wikipedia

    en.wikipedia.org/wiki/MicroPDF417

    MicroPDF417 barcode was patented in 1996, [1] by Frederick Schuessler, Kevin Hunter, Sundeep Kumar and Cary Chu from Symbol Technologies company. MicroPDF417 is an extension of PDF417 barcode [6] and uses the same principles of data encoding. [2]

  7. Aztec Code - Wikipedia

    en.wikipedia.org/wiki/Aztec_Code

    The total matrix capacity for a full symbol can be calculated as (112+16*L)*L for a full Aztec code and (88+16*L)*L for a compact Aztec code, where L is the symbol size in layers. [4] As an example, the total matrix capacity of a compact Aztec code with 1 layer is 104 bits. Since code words are six bits, this gives 17 code words and two extra bits.